Jae-Hong Lee
Artificial Intelligence · E -journal of dentistry · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Periodontics — 6 citations into it
- Oral Surgery — 5 citations into it
Whom Jae-Hong Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Geoffrey E. Hinton
- Vinod Nair
- Wanli Ouyang
- Andrew Zisserman
- Christian Szegedy
- Alex Krizhevsky
- Xingchao Peng
- Kaiming He
- Yoshua Bengio
Who trusts Jae-Hong Lee overall
Papers from Jae-Hong Lee's perspective
Ordered by how strongly the researchers Jae-Hong Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Artificial intelligence in dental research: Checklist for Authors, Reviewers, Readers. (2021) — 307 citations
- Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm. (2018) — 832 citations
- Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm (2018) — 406 citations